Data Collection

Fabric Mask Dataset for Biometric Testing

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Understanding how AI systems perceive human faces requires more than standard images.
Fabric masks that accurately replicate facial features (front, sides, and back) allow testing systems under realistic, multi-angle conditions, revealing vulnerabilities and improving recognition robustness.

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The Task

The goal was to create fabric masks that accurately mimic human facial features for biometric testing. Standard masks typically cover only the front of the face (180°), but our dataset required full coverage, including the back and sides, so respondents could move naturally without compromising data integrity.

Key requirements included:

  • Full head contour for multi-angle recognition
  • High-quality, realistic prints with modular replaceable features (eyes, nose, mouth)
  • Material flexibility, including thinner fabrics similar to nylon hosiery for enhanced biometric testing accuracy

The Solution

3D Design and Production

We developed a 3D breakdown of the head structure to guide the supplier. This allowed:

  • Integration of fabric with complete head coverage
  • Customizable inserts for facial features to increase realism
  • Post-production assembly that preserves the head’s natural shape

Material Selection and Printing

Different fabrics were tested, including lightweight, semi-transparent options, which better simulate skin and allow anti-spoofing testing. Prints were optimized for:

  • Hyper-realistic textures and pigmentation, including micro-details like freckles or subtle wrinkles
  • Multi-layered construction for durable, realistic results

Process Optimization

Even with a capable supplier, fabric mask production involves scaling challenges. We:

  • Standardized instructions for assembly and quality control
  • Monitored consistency across samples and materials
  • Ensured flexibility to swap parts for live testing scenarios

The Result

  • Successfully produced initial samples for early-stage testing with full head coverage
  • Created a scalable workflow for future production of hyper-realistic fabric masks
  • Established expertise in multi-angle, realistic mask fabrication for biometric validation

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